BenchMARL AI Agent
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
BenchMARL is an open-source ai agent by facebookresearch, written mainly in Python, with 678 GitHub stars and the MIT license. Its code was last updated Feb 7, 2026.
Scan summary: scanned Nov 5, 2026 at commit 65d649d. Seen able to run dynamic code. Scan policy
65d649d · Nov 5, 2026Findings (11)
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1044 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1045 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1046 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1047 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1048 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1049 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1050 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
benchmarl/experiment/experiment.py:1051 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.orjson@3.9.9: 2 known vulnerabilitiesPYSEC-2024-40, PYSEC-2026-107
docs/requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.torch@2.9.1: 4 known vulnerabilitiesPYSEC-2026-139, PYSEC-2026-2286, GHSA-qfhq-4f3w-5fph, GHSA-rrmf-rvhw-rf47
docs/requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
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|---|---|---|---|---|
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